Chemometric Consulting

Mike Dereviankin

Who is Mike?

Forensic chemist and data science consultant with a focus on interpretation & education for the utilization of modern statistical approaches and machine learning to interpret multi-variant chemical data. Primary consulting experience with private companies, litigation firms, regulatory agencies, oil & gas, the chemical industry, and academia.

Work Experience

Principal Consultant

December 2021 – Present

Dereviankin Consulting Inc., CAN                                                                   

Consultant

March 2020 – Present                                   

Chemistry Matters Consulting Inc., CAN                                                             

Quality Auditor

September 2017 – September 2018             

Labstat International ULC. Kitchener, CAN

Education

2018-2020       Masters of Science, Analytical Biogeochemistry

                        McMaster University, Hamilton, ON

Advisor: Dr. Gregory F. Slater

Dissertation: Developing analytical methods utilizing comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry to monitor biodegradation of alkylated poly- aromatic hydrocarbon isomers within an oil sand tailing pond.

Extracurriculars: McMaster University Varsity Water Polo & Swimming Team

2012-2017      Bachelor of Science, Biological & Pharmaceutical Chemistry (Honours)

 Undergraduate Thesis Advisor: Dr. Michael K. Denk

Dissertation: Denk, M. K., Milutinović, N. S., & Dereviankin, M. Y. (2019). Reduction of halocarbons to hydrocarbons by NADH models and NADH. Chemosphere. https://doi.org/10.1016/j.chemosphere.2019.05.169

Extracurriculars: University of Guelph Gryphon’s Varsity Swim Team

Distinctions: USports Academic All Canadian

Expertise:

Main domains: Analytical chemistry | Statistics | Data Science | Biomonitoring | Epidemiology

Statistics: Univariate Statistics | Multivariate Statistics | Parametric Statistics | Non-Parametric Statistics | Data Pre-Processing | Validation | Error analysis | Bayesian statistics

Programming Skills: Python | R | Matlab | JSL

Languages: English | Russian | Ukrainian

Consulting Experience:

Environmental Forensics Investigation

2020 - present

Environmental Forensics Investigation of Environmental Contaminants in Portland Harbor Superfund Site

FMC Corporation, Philadelphia, PA, USA

Chemometric workflow of environmental contaminant data from the Portland Harbor Superfund site. Extensive work developing dashboards for showcasing source apportionment, dimensionality reduction and predictive modelling interactively during litigation support meetings. The case involves the chemical fingerprinting of polychlorinated dibenzo-p-dioxins (PCDDs), polychlorinated dibenzofurans (PCDFs), polychlorinated biphenyls (PCBs) and other environmental contaminants.

2021 - present

Environmental Forensics Investigation of Environmental Contaminants in Centredale Manor Restoration Project Superfund Site

Stanley Black & Decker, Rhode Island, USA

Used recent sampling results to determine fingerprints to conduct source apportionment of polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans (PCDD/Fs), polychlorinated biphenyls (PCBs), and polycyclic aromatic hydrocarbons (PAHs). Extensive statistical analysis with various receptor models to determine unique end-members and allocate the contribution of sources on a sample-by-sample basis.